{
 "cells": [
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2025-11-16T15:47:45.495385Z",
     "start_time": "2025-11-16T15:47:45.187303Z"
    }
   },
   "source": "import matplotlib.pyplot as plt",
   "outputs": [],
   "execution_count": 1
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-11-16T15:48:36.990990Z",
     "start_time": "2025-11-16T15:48:36.929465Z"
    }
   },
   "cell_type": "code",
   "source": [
    "plt.plot([1,0,9],[4,5,6])\n",
    "plt.show()"
   ],
   "id": "cbdac2d10fc071f9",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 2
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
